arXiv

“SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors”

“adding this prober improved position prediction accuracy by roughly 3.9x and attitude accuracy by 8.5x compared to an unconstrained neural network decoder (Section VI-B, Table III)”

“The core achievement of this paper is a framework that recycles a robot's past successful actions to teach it how to handle new objects it has never seen before.”

“By fine-tuning Vision-Language-Action (VLA) policies on this augmented data, they achieved a 16.5% relative to the state-of-the-art baseline on novel objects.”

“arXiv: 2605.13119”